Artificial Intelligence Developer - Deep/Machine Learning

We are looking for an experienced and results-driven AI Developer to join our team. The ideal candidate will be responsible for developing, deploying, and optimizing AI and machine learning models to solve real-world business problems. You will collaborate with cross-functional teams to deliver scalable and ethical AI solutions using state-of-the-art tools and Responsibilities : Data Engineering & Preprocessing : - Collaborate with data scientists and engineers to source, clean, and preprocess large datasets. - Perform feature engineering and data selection to improve model Model Development & Implementation : Design, build, and validate machine learning and deep learning models, including : - Convolutional Neural Networks (CNNs) - Recurrent Neural Networks (RNNs/LSTMs) - Transformers - NLP and computer vision models - Reinforcement learning agents - Classical ML techniques - Develop models tailored to domain-specific business Optimization & Scalability : - Optimize models for performance, latency, scalability, and resource efficiency. - Ensure models are production-ready for real-time MLOps & Integration : - Build and maintain MLOps pipelines for model deployment, monitoring, and retraining. - Use Docker, Kubernetes, and CI/CD tools for containerization and orchestration. - Deploy models on cloud platforms (AWS, Azure, GCP) or on-premise infrastructure. - Integrate models into systems and applications via APIs or model-serving Validation & Continuous Improvement : - Implement testing strategies like unit testing, regression testing, and A/B testing. - Continuously improve models based on user feedback and performance & Innovation : - Stay up to date with AI/ML advancements, tools, and techniques. - Experiment with new approaches to drive innovation and competitive & Communication : - Work closely with engineers, product managers, and subject matter experts. - Document model architecture, training processes, and experimental findings. - Communicate complex technical topics to non-technical stakeholders AI Practices : - Support and implement ethical AI practices focusing on fairness, transparency, and Qualifications & Skills : Core Technical Skills : - Proficient in Python and experienced with libraries such as TensorFlow, PyTorch, Keras, Scikit- learn. - Solid understanding of ML/DL architectures (CNNs, RNNs/LSTMs, Transformers). - Skilled in data manipulation using Pandas, NumPy, & Deployment Experience : - Experience with MLOps tools like MLflow, Kubeflow, DVC. - Familiarity with Docker, Kubernetes, and CI/CD pipelines. - Proven ability to deploy models on cloud platforms (AWS, Azure, or Engineering & Analytical Thinking : - Strong foundation in software engineering: Git, unit testing, and code optimization. - Strong analytical mindset with experience working with large & Teamwork : - Excellent communication skills, both written and verbal. - Collaborative team player with experience in agile AI & LLM Expertise : - Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA). - Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG). - Experience with LangChain, LlamaIndex, and Hugging Face Transformers. - Understanding of vector databases (e.g., Pinecone, FAISS, Experience : - Experience applying AI in sectors like healthcare, finance, retail, manufacturing, or customer service. - Specialized knowledge in NLP, computer vision, or reinforcement & Research Background : - Strong background in statistics and optimization. - Research publications in top AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL) are a plus. (ref:hirist.tech)

Location: noida, IN

Posted Date: 6/4/2025